Water Sowing and Harvesting is part of the methods based on nature that take up ancestral practices for efficient use of water, favoring the recharge of aquifers in wet periods for use in dry periods. Properly estimating the water resources available in a region or basin is fundamental for the sowing of water, for which different hydrological models are used depending on the quantity and quality of the information. The case study is the Palomino River basin in the Sierra Nevada de Santa Marta (Colombia), a mountain watershed with little hydrological data available, as it typically happens in mountain areas. A hydrological model ensemble approach is proposed here to evaluate the water resources of the basin. The ensemble is composed of 12 conceptual lumped parameter models which are especially well suited for simulating the behavior of hydrological basins with scarce data. Manual calibration and validation are carried out for each model. Furthermore, a long-term simulation is performed to estimate available water resources while inferring the hydrological regulation indices of the watershed. The model ensemble approach allows coping with the uncertainty of hydrological balances in w with little data availability. The proposed methodology is simple and may be replicated in other mountain basins.